Marc Schulder

Marc Schulder

Research Associate in Computational Linguistics

Institute for German Sign Language, Hamburg University

About me

I am a researcher in computational linguistics. After submitting my dissertation on the bootstrapped creation of lexica for sentiment polarity shifters in early 2019, I have now moved into the field of sign language research. As part of the DGS-Korpus project I develop computational methods for the analysis, automatic classification and assisted annotation of German Sign Language (DGS). I am also involved in work on data infrastructure for the project, such as updated releases of the DGS corpus, public documentation, and implementation of the FAIR principles.

Together with colleagues I also run the Sign Language Dataset Compendium, which compiles information on digital corpora and lexical resources for sign languages.

Previously I have worked on sentiment analysis, metaphor recognition, and context integration in speech recognition.

I also run Discwordle, a word-guessing game that uses only terms from Terry Pratchett’s Discworld.

Interests
  • Sign Language Linguistics
  • Natural Language Processing
  • Open Science
Education
  • PhD in Computational Linguistics, 2019

  • MSc in Language Science and Technology, 2013

  • BSc in Computational Linguistics, 2011

Recent Publications

(2023). Interlingual index for the project's core sign languages. EASIER Deliverable D6.4.

PDF Cite Dataset Project DOI

(2023). EASIER Notation – A Proposal for a Gloss-based Scripting Language for Sign Language Generation Based on Lexical Data. In SLTAT 2023.

PDF Cite Project Poster DOI

(2023). Report on Europe's Sign Languages. ELE Deliverable D1.40.

PDF Cite Project DOI

CV

 
 
 
 
 
Research Associate
March 2019 – Present Hamburg, Germany
 
 
 
 
 
Doctoral Studies in Computational Linguistics
November 2013 – August 2019 Saarbrücken, Germany
 
 
 
 
 
October 2007 – November 2013